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All Journal JURNAL ILMIAH INFORMATIKA
Nur Ikhsan
STMIK WIDURI
Computer Science & IT

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ANALISIS UNTUK MEMPREDIKSI STOK ASET DI PT. XYZ MENGGUNAKAN ALGORITMA APRIORI Nur Ikhsan; Fahmi Arzalega; Nur Nawaningtyas Pusparini
JURNAL ILMIAH INFORMATIKA Vol 11 No 02 (2023): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v11i02.7354

Abstract

There was an error in the staff's recording of goods and calculations, making it difficult to locate the necessary data. A collection of data that has been recorded and calculated ultimately renders the data useless. The purpose of the study was to determine whether the RapidMiner application's use of data mining can aid in stock prediction and data analysis. For stock predictions, the researcher employs the a priori algorithm approach in this instance. The findings indicate that employees will request the most support in 2022—a printer—if they request a laptop by as much as 7.9%. The laptop category will dominate in 2021, and the PC category will dominate in 2022. Therefore, the highest level of confidence for 2022 is that employees will request a printer if they request a PC and an external hard disk of 100%. The conclusion states that employees can use the RapidMiner application to perform data mining by applying the a priori algorithm, which aids in data analysis and predicts employee supply requirements.
Co-Authors Fahmi Arzalega Nur Nawaningtyas Pusparini